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Zhejiang University and TeleAI propose GR-BC, using graph search to select effective actions from robot trial and error

The team led by Chunhua Shen at Zhejiang University, together with the China Telecom Artificial Intelligence Research Institute (TeleAI) and Chenjia Bai's team at Gamma Intelligence, proposed GR-BC, which builds multiple attempts at the same task into a graph, uses reverse Dijkstra search to estimate the remaining steps from each state to success, and then weights action chunks accordingly to train a vision-language-action model.

Part of the event: Zhejiang University and TeleAI propose GR-BC robot training method

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